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State Primitive Learning to Overcome Catastrophic Forgetting in Robotics 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 9
Authors:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong
Favorite  |  View/Download:10/0  |  Submit date:2021/01/06
Catastrophic forgetting  State primitives  Robotics  Continual learning  
Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning 期刊论文
Neural Networks, 2020, 期号: 2020.06.003, 页码: 12
Authors:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong;  Amir Hussain
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Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics  
Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 期号: 50, 页码: 20-29
Authors:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
View  |  Adobe PDF(2952Kb)  |  Favorite  |  View/Download:119/8  |  Submit date:2019/07/11
Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Stochastic Conjugate Gradient Algorithm With Variance Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
Authors:  Jin, Xiao-Bo;  Zhang, Xu-Yao;  Huang, Kaizhu;  Geng, Guang-Gang
Favorite  |  View/Download:71/0  |  Submit date:2019/07/11
Computational efficiency  covariance reduction  empirical risk minimization (ERM)  linear convergence  stochastic conjugate gradient (CG)  
无权访问的条目 会议论文
Authors:  Xiong,, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Amir Hussain
Adobe PDF(277Kb)  |  Favorite  |  View/Download:53/9  |  Submit date:2020/04/26
无权访问的条目 期刊论文
Authors:  Xiong, Fangzhou;  Sun, Biao;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir;  Liu, Zhiyong
Adobe PDF(1059Kb)  |  Favorite  |  View/Download:91/7  |  Submit date:2019/07/12
A fast projected fixed-point algorithm for large graph matching 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 60, 页码: 971-982
Authors:  Lu, Yao;  Huang, Kaizhu;  Liu, Cheng-Lin
Favorite  |  View/Download:126/0  |  Submit date:2016/12/26
Graph Matching  Projected Fixed-point  Large Graph Algorithm  Feature Correspondence  Point Matching  
DE2: Dynamic ensemble of ensembles for learning nonstationary data 期刊论文
NEUROCOMPUTING, 2015, 卷号: 165, 页码: 14-22
Authors:  Yin, Xu-Cheng;  Huang, Kaizhu;  Hao, Hong-Wei
Favorite  |  View/Download:2/0  |  Submit date:2020/10/27
Ensemble Of Ensembles  Growing Ensemble  Sparsity Learning  Nonstationary Environment  Concept Drift  Incremental Learning  
MTC: A Fast and Robust Graph-Based Transductive Learning Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
Authors:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guang-Gang;  Liu, Cheng-Lin
View  |  Adobe PDF(3026Kb)  |  Favorite  |  View/Download:163/26  |  Submit date:2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Convex ensemble learning with sparsity and diversity 期刊论文
INFORMATION FUSION, 2014, 卷号: 20, 页码: 49-59
Authors:  Yin, Xu-Cheng;  Huang, Kaizhu;  Yang, Chun;  Hao, Hong-Wei
Favorite  |  View/Download:0/0  |  Submit date:2020/10/27
Classifier Ensemble  Sparsity  Diversity  Convex Quadratic Programming